Discover. Oncology最新文献_第2页

Efficacy analysis of brain radiotherapy in EGFR mutation non-small cell lung cancer with brain metastasis: a retrospective study. 脑放疗治疗EGFR突变非小细胞肺癌合并脑转移的疗效分析：回顾性研究。

IF 2.8 4区医学

Discover. Oncology Pub Date : 2025-04-08 DOI: 10.1007/s12672-025-02230-x

Kaicheng Pan, Bing Wang, Xiao Xu, Yi Tang, Jiafeng Liang, Shenglin Ma, Bing Xia, Lucheng Zhu

{"title":"Efficacy analysis of brain radiotherapy in EGFR mutation non-small cell lung cancer with brain metastasis: a retrospective study.","authors":"Kaicheng Pan, Bing Wang, Xiao Xu, Yi Tang, Jiafeng Liang, Shenglin Ma, Bing Xia, Lucheng Zhu","doi":"10.1007/s12672-025-02230-x","DOIUrl":"https://doi.org/10.1007/s12672-025-02230-x","url":null,"abstract":"Objectives: Patients with epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) are at a heightened risk of developing brain metastases (BM). EGFR-tyrosine kinase inhibitors (TKI) are standard treatment for EGFR-mutated NSCLC. However, the necessity and optimal approach of brain radiotherapy for NSCLC patients with EGFR mutation remain inconclusive. We aimed to answer these questions by retrospectively analyzing the efficacy of radiotherapy in patients with BM from NSCLC with EGFR mutations.Methods: Patients with EGFR- mutant NSCLC and BMs who were diagnosed between January 1, 2018 and December 31, 2022 were included. According to treatment methods those patients were divided into whole brain radiotherapy (WBRT) plus EGFR-TKI (WBRT group), stereotactic radiotherapy (SRT) plus EGFR-TKI (SRT group) and EGFR-TKI alone (TKI-only group). Propensity-score-matching (PSM) was performed to minimize the effect of possible confounding factors and to balance treatment groups.Results: A total of 142 patients were included in this study. The median follow-up time was 22 months (range, 3.0-43.0 months). In the PSM cohort, the median intracranial progression free survival (iPFS) was 14, 30, 12 months and the median overall survival (OS) was 27 months, not reach and 33 months in WBRT group, SRT group and TKI-only group, respectively. Compared with the other two groups, SRT group significantly improved iPFS and OS (p < 0.05). And the local progression rate of intracranial lesions in SRT group was significantly reduced (p < 0.05).Conclusion: This study showed that SRT combined with TKI may improve iPFS and prolong survival in patients with EGFR mutations in BMs from NSCLC.","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"488"},"PeriodicalIF":2.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143810797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comprehensive bioinformatics analysis identified HMGB3 as a promising immunotherapy target for glioblastoma multiforme. 综合生物信息学分析发现HMGB3是多形性胶质母细胞瘤的一个有前途的免疫治疗靶点。

IF 2.8 4区医学

Discover. Oncology Pub Date : 2025-04-07 DOI: 10.1007/s12672-025-02235-6

Libin Wang, Peizhi Xu, Xinglong Li, Qinghua Zhang

{"title":"Comprehensive bioinformatics analysis identified HMGB3 as a promising immunotherapy target for glioblastoma multiforme.","authors":"Libin Wang, Peizhi Xu, Xinglong Li, Qinghua Zhang","doi":"10.1007/s12672-025-02235-6","DOIUrl":"10.1007/s12672-025-02235-6","url":null,"abstract":"Objective: Glioblastoma multiforme (GBM) presents significant therapeutic challenges due to its heterogeneous tumorigenicity, drug resistance, and immunosuppression. Although several molecular markers have been developed, there still lack of sensitive molecular for accurately detection. Studying the mechanisms underlying the development of GBM and finding relevant prognostic biomarkers remains crucial.Methods: Single-cell RNA sequencing, bulk RNA-seq, and cancer immune cycle activities of GBM were used to assess the expression of different molecular related to GBM. Bioinformatics analyses were carried to evaluate the functional of the high mobility group protein B3 (HMGB3) in GBM.Results: HMGB3 was highly expressed in GBM tissues and influenced the interpatient and intratumoral transcriptomic heterogeneity as well as immunosuppression in GBM. HMGB3 also contributes to a no inflamed tumor microenvironment (TME) and has an inhibitory effect on tumor-associated immune cell infiltration. Besides, HMGB3 participated GBM chemotherapeutic sensitivity and negative correlation with 140 medicines.Conclusion: HMGB3 as a heterogeneous and immunosuppressive molecule in the GBM TME, making it a potential target for precision therapy for GBM.","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"478"},"PeriodicalIF":2.8,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Insights into the history and trends of nanotechnology for the treatment of hepatocellular carcinoma: a bibliometric-based visual analysis. 深入了解纳米技术治疗肝细胞癌的历史和趋势：基于文献计量学的视觉分析。

IF 2.8 4区医学

Discover. Oncology Pub Date : 2025-04-07 DOI: 10.1007/s12672-025-02145-7

Yulei Zhao, Xingxin Wang, Xiaoman Yang, Jiaheng Li, Bingbing Han

{"title":"Insights into the history and trends of nanotechnology for the treatment of hepatocellular carcinoma: a bibliometric-based visual analysis.","authors":"Yulei Zhao, Xingxin Wang, Xiaoman Yang, Jiaheng Li, Bingbing Han","doi":"10.1007/s12672-025-02145-7","DOIUrl":"10.1007/s12672-025-02145-7","url":null,"abstract":"Background: Nanotechnology has great potential and advantages in the treatment of hepatocellular carcinoma (HCC), but the research trends and future directions are not yet clear.Objectives: Analyze the development trajectory, research hotspots, and future trends of nanotechnology and HCC research globally in the past 20 years, providing a more comprehensive and intuitive reference for researchers in this field.Methods: Retrieve relevant literature on nanotechnology and HCC research in the Web of Science (WOS) Core Collection database, and conduct bibliometric analysis using software such as CiteSpace, VOSviewer, and SCImago Graphica.Results: A total of 852 English publications meeting the criteria were retrieved from the WOS database, with an overall increasing trend in the number of publications and citation frequency over the years. China leads in the number of publications and international collaborations, followed by the USA and India. The most influential research institution is the Chinese Academy of Sciences, the most influential scholar/team is the Rahman, Mahfoozur team, and the journal with the most publications is the International Journal of Nanomedicine. A comprehensive analysis reveals that the current main research directions include new types of nanoparticles, targeted drug delivery systems, photothermal/photodynamic therapy, gene delivery systems, diagnostics, and imaging. It is anticipated that further collaboration among scholars, institutions, and countries will accelerate the development of nanotechnology in the field of HCC research.Conclusion: This study provides an in-depth analysis of the research status and development trends of nanotechnology in treating HCC from a bibliometric perspective, offering possible guidance for researchers to explore hot topics and frontiers, select suitable journals, and partners in this field.","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"484"},"PeriodicalIF":2.8,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SEPT9 and PAI-1 are immunohistochemical biomarkers of the hepatocellular carcinoma immune microenvironment. SEPT9和PAI-1是肝细胞癌免疫微环境的免疫组织化学标志物。

IF 2.8 4区医学

Discover. Oncology Pub Date : 2025-04-07 DOI: 10.1007/s12672-025-02252-5

Eundong Park, Xin Wang, Nusret Bekir Subasi, Michel Kmeid, Paul J Higgins, Anne Chen, Hwajeong Lee

{"title":"SEPT9 and PAI-1 are immunohistochemical biomarkers of the hepatocellular carcinoma immune microenvironment.","authors":"Eundong Park, Xin Wang, Nusret Bekir Subasi, Michel Kmeid, Paul J Higgins, Anne Chen, Hwajeong Lee","doi":"10.1007/s12672-025-02252-5","DOIUrl":"10.1007/s12672-025-02252-5","url":null,"abstract":"Background: Septin 9 (SEPT9) interacts with multiple oncogenic proteins and is expressed abnormally in several cancers, including hepatocellular carcinoma (HCC). Plasminogen activator inhibitor-1 (PAI-1) promotes tumor formation and progression by modulating the tumor immune microenvironment. CXCR2+ immune cells play a crucial role in HCC formation, progression, and prognosis. The relationship between SEPT9 and PAI-1, and their impact on the HCC immune microenvironment remains unclear.Methods: Expression levels of SEPT9 and PAI-1 were evaluated by immunohistochemistry (IHC) in HCC and background benign liver (n = 76). Their IHC results were examined for relationships with immune cell markers (CXCR2, CD3, CD15, CD68, and CD163), clinical parameters, and survival outcomes.Results: Higher grade HCC expressed SEPT9 and PAI-1 more frequently. SEPT9 and PAI-1 expression were associated with each other. PAI-1(+) HCCs had higher intratumoral CXCR2, CD3, CD15, CD68, and CD163 expression compared to PAI-1(-) HCCs, while SEPT9 expression correlated with greater CXCR2+ and CD15+ cell counts in tumor. SEPT9(+) HCC patients had shorter OS, although SEPT9 was not an independent prognostic factor.Conclusion: SEPT9 is associated with PAI-1, a pro-tumorigenic protein. Both SEPT9 and PAI-1 are linked to advanced HCC grades. SEPT9 and PAI-1 positive HCCs have distinct CXCR2+ immune cell landscapes. Further investigation is needed to elucidate a possible SEPT9/PAI-1 interaction and the clinical utility of SEPT9 IHC in HCC.","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"483"},"PeriodicalIF":2.8,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development and validation of a prognostic nomogram for ovarian clear cell carcinoma: a study based on the SEER database and a Chinese cohort. 卵巢透明细胞癌预后图的开发和验证：基于SEER数据库和中国队列的研究。

IF 2.8 4区医学

Discover. Oncology Pub Date : 2025-04-07 DOI: 10.1007/s12672-025-02272-1

Yao Shen, Fei Xi, Pingge Zhao, Yuhang Zhang, Guanlin Guo, Xueyuan Jia, Jie Wu, Ye Kuang

{"title":"Development and validation of a prognostic nomogram for ovarian clear cell carcinoma: a study based on the SEER database and a Chinese cohort.","authors":"Yao Shen, Fei Xi, Pingge Zhao, Yuhang Zhang, Guanlin Guo, Xueyuan Jia, Jie Wu, Ye Kuang","doi":"10.1007/s12672-025-02272-1","DOIUrl":"10.1007/s12672-025-02272-1","url":null,"abstract":"Background: The clinical prognostic factors for ovarian clear cell carcinoma (OCCC) are limited, and we aim to construct a model to predict the survival of OCCC patients.Methods: Data were extracted from the SEER database for patients diagnosed with OCCC. Cox regression analyses were used to identify independent risk factors for OCCC. Two nomograms were developed, and the results were evaluated comprehensively by C-index, ROC curve, calibration curve, and DCA curve. Patients diagnosed with OCCC were used as the validation set to verify the model.Results: A total of 1855 OCCC patients from the SEER database were used as the training set, and 101 patients from our hospital were used as the validation set. Cox regression analysis of the independent risk factors affecting the prognosis of OCCC was used to construct nomograms. The C-index of the training set OS was 0.76, and the validation set OS was 0.75. The AUC of the training set OS is 0.803, 0.794, and 0.802 for 1, 3, and 5 years, and 0.774, 0.800, and 0.923 for the validation set. The calibration curve and DCA curve also showed that OS and CSS have good predictive power.Conclusions: A nomogram based on 8 prognostic factors analyzed by Cox regression can predict the prognosis of OCCC patients effectively.","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"482"},"PeriodicalIF":2.8,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The role of UPK1B in gastric cancer: multi-omics analysis and experimental validation. UPK1B在胃癌中的作用：多组学分析和实验验证。

IF 2.8 4区医学

Discover. Oncology Pub Date : 2025-04-07 DOI: 10.1007/s12672-025-02263-2

Haixing Zhu, Wen Jiang, Qian Zhang, Changjun Yu

{"title":"The role of UPK1B in gastric cancer: multi-omics analysis and experimental validation.","authors":"Haixing Zhu, Wen Jiang, Qian Zhang, Changjun Yu","doi":"10.1007/s12672-025-02263-2","DOIUrl":"10.1007/s12672-025-02263-2","url":null,"abstract":"Background: UPK1B has been implicated in various cancers; however, its mechanism of action in gastric cancer remains elusive.Methods: We utilized transcriptional data and clinical information, and mutation profiles from The Cancer Genome Atlas (TCGA) database to analyze UPK1B's expression and clinical relevance. Biological enrichment, immune microenvironment characterization, and drug sensitivity analyses were conducted. Functional assays, including proliferation, migration, invasion, and in vivo metastasis models, were used to validate UPK1B's role in gastric cancer.Results: UPK1B was significantly upregulated in gastric cancer and correlated with worse clinical outcomes, including advanced stages and reduced survival rates. Biological enrichment analysis revealed its involvement in cancer-related pathways such as DNA replication and immune regulation. UPK1B was negatively correlated with NK cells and M1 macrophages, indicating its role in immune evasion. Functional experiments demonstrated that knockdown of UPK1B significantly suppressed gastric cancer cell proliferation, invasion, and migration in vitro and reduced pulmonary metastases in vivo. Drug sensitivity analysis suggested that high UPK1B expression was associated with increased sensitivity to lapatinib and resistance to cisplatin.Conclusions: UPK1B promotes tumor progression and modulates the immune microenvironment in gastric cancer, making it a potential therapeutic target for future research and clinical applications.","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"476"},"PeriodicalIF":2.8,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973043/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A causal inference study exploring the impact of iron status on the risk of thyroid cancer based on two-sample mendelian randomization. 一项基于双样本孟德尔随机化的因果推理研究探讨了铁状态对甲状腺癌风险的影响。

IF 2.8 4区医学

Discover. Oncology Pub Date : 2025-04-07 DOI: 10.1007/s12672-025-02270-3

Yihan Shi, Wenlian Zheng, Guanglun Yang, Hong Liu, Lei Xing

{"title":"A causal inference study exploring the impact of iron status on the risk of thyroid cancer based on two-sample mendelian randomization.","authors":"Yihan Shi, Wenlian Zheng, Guanglun Yang, Hong Liu, Lei Xing","doi":"10.1007/s12672-025-02270-3","DOIUrl":"10.1007/s12672-025-02270-3","url":null,"abstract":"Background & aims: Thyroid cancer is prone to early lymph node metastasis.This study investigated the influence of iron status on thyroid cancer risk and its mediating role in the relationship between thyroid cancer incidence and thyroid cancer-related exposure factors.Method: Utilizing iron status-related Single Nucleotide Polymorphisms as instrumental variables, the research analyzed summary data on iron status and thyroid cancer from Genome-Wide Association Studies following the Two-sample Mendelian randomization guidelines, primarily using the Inverse-variance weighted method, with Mendelian randomization-Egger method, weighted median method, simple mode, and weighted mode as supplementary analyses. The reliability and robustness of the results were assessed using the Leave-one-out analysis and Cochran's Q Test.Results: The findings indicate that the iron status has a vital causal relationship with the occurrence of thyroid cancer. The Inverse-variance weighted model results revealed Iron || id:ieu-a-1049: OR = 1.409, 95%CI = (1.043, 1.904), P < 0.05; Ferritin || id:ieu-a-1050: OR = 2.029, 95% CI = (1.081, 3.808), P < 0.05; Transferrin Saturation || id:ieu-a-1051: OR = 1.337, 95%CI = (1.058, 1.690), P < 0.05. The reliability and robustness of these results were further supported by the Leave-one-out analysis and Cochran's Q Test (P > 0.05).Conclusion: The study establishes a certain causal link between iron status and thyroid cancer, indicating that transferrin saturation, serum ferritin and serum iron are associated with thyroid cancer incidence.","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"485"},"PeriodicalIF":2.8,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Causal role of immune cells in thyroid cancer: a two-sample Mendelian randomization study. 免疫细胞在甲状腺癌中的因果作用：一项双样本孟德尔随机研究。

IF 2.8 4区医学

Discover. Oncology Pub Date : 2025-04-07 DOI: 10.1007/s12672-025-02249-0

Shurong Wang, Zhouyu Fang, Wenjin Xiao, Ying Xie, Yueyue Zhang, Zhihua Liu

{"title":"Causal role of immune cells in thyroid cancer: a two-sample Mendelian randomization study.","authors":"Shurong Wang, Zhouyu Fang, Wenjin Xiao, Ying Xie, Yueyue Zhang, Zhihua Liu","doi":"10.1007/s12672-025-02249-0","DOIUrl":"10.1007/s12672-025-02249-0","url":null,"abstract":"Background: Immune cells play a crucial role in the progression of thyroid cancer. However, previous research on the link between immune cells and thyroid cancer has produced conflicting results.Methods: Based on the public available genome-wide association studies summary statistics, we performed a two-sample Mendelian randomization (MR) to evaluate the causal association between 731 immune phenotypes (including median fluorescence intensities, absolute cell counts, relative cell counts, and morphological parameters) and thyroid cancer. The inverse variance weighting method was employed to investigate the causal relationship between exposure and outcome. Moreover, multiple sensitivity analyses, such as MR-Egger, weighted median, and MR-PRESSO, were simultaneously applied to reinforce the final results.Results: After false discovery rate correction, four immunophenotypes were found to be significantly associated with a decreased risk of thyroid cancer. And six immunophenotypes were significantly associated with an increased risk of thyroid cancer.Conclusions: Our study has demonstrated the close connection between immune cells and thyroid cancer by genetic means, thus providing guidance for future clinical research.","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"481"},"PeriodicalIF":2.8,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-omics analysis of copper metabolism-related molecular subtypes and risk stratification for osteosarcoma. 骨肉瘤铜代谢相关分子亚型和风险分层的多组学分析。

IF 2.8 4区医学

Discover. Oncology Pub Date : 2025-04-07 DOI: 10.1007/s12672-025-02273-0

Yang Zhang, Wen Liu, Dayong Liu, Xiaopeng Li, Qingshan Zhuang, Quan Sun, Xiaolin Wu, Feng Li

{"title":"Multi-omics analysis of copper metabolism-related molecular subtypes and risk stratification for osteosarcoma.","authors":"Yang Zhang, Wen Liu, Dayong Liu, Xiaopeng Li, Qingshan Zhuang, Quan Sun, Xiaolin Wu, Feng Li","doi":"10.1007/s12672-025-02273-0","DOIUrl":"10.1007/s12672-025-02273-0","url":null,"abstract":"Background: As the most common primary malignant bone tumor, further investigation into risk stratification for osteosarcoma (OS) prognosis is of significant clinical importance. Copper is essential for bone metabolism; however, its specific role in OS remains unclear.Methods: The expression characteristics of copper metabolism related genes (CORGs) in OS were revealed by single cell sequencing. Prognosis-associated CORGs were identified, and a CORG-related scoring system and risk model were established using bioinformatics approaches, including univariate and multivariate Cox regression analyses and LASSO analysis. We further analyzed immune microenvironment infiltration, molecular subtypes and clinicopathological characteristics. The impact of selected CORG with high-risk coefficient on OS cells was tested by qRT-PCR, western blot, siRNA, colony formation analysis and Transwell in vitro.Results: We successfully developed an OS scoring system related to copper metabolism and validated its independent prognostic value in patients with OS. The potential clinical value of CORG scoring system was analyzed. APOA4 was selected for in vitro experiments and its effect on the proliferation and invasion ability of OS cells was verified.Conclusion: We established a copper metabolism-related scoring system to effectively stratify the risk of OS patients. Our results provide a new basis for the role of copper metabolism in OS and provide new potential targets for the treatment of OS.","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"480"},"PeriodicalIF":2.8,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel molecular classification system for head and neck squamous cell carcinoma: predicting treatment response and metastatic potential through multi-omics analysis. 一种新的头颈部鳞状细胞癌分子分类系统：通过多组学分析预测治疗反应和转移潜力。

IF 2.8 4区医学

Discover. Oncology Pub Date : 2025-04-07 DOI: 10.1007/s12672-025-02257-0

XinYu Liu, YuJun Liu, XuTengYue Tian, Yue Xi, MiaoMiao Lu, Xin Zou, WanTao Chen

{"title":"A novel molecular classification system for head and neck squamous cell carcinoma: predicting treatment response and metastatic potential through multi-omics analysis.","authors":"XinYu Liu, YuJun Liu, XuTengYue Tian, Yue Xi, MiaoMiao Lu, Xin Zou, WanTao Chen","doi":"10.1007/s12672-025-02257-0","DOIUrl":"10.1007/s12672-025-02257-0","url":null,"abstract":"Background: Head and neck squamous cell carcinoma (HNSCC) demonstrates significant heterogeneity, necessitating improved molecular classification for precision treatment.Methods: We integrated single-cell and bulk RNA sequencing data from 59,376 cells across ten datasets using Scissor and scSTAR packages. Molecular subtyping was performed through ssGSEA and WGCNA analysis, with immune infiltration evaluated using CIBERSORT. We developed a machine learning-based risk prediction model using 54 algorithms.Results: We identified three molecular subtypes with distinct prognostic implications, showing significant survival differences across independent datasets (TCGA-HNSCC, P < 0.0001; GSE65858, P = 0.018). The C3 subtype showed enhanced immunotherapy response potential, while C2 exhibited the highest genomic alteration rate (97.06%) and TP53 mutations (80%). Macrophages emerged as key players in intercellular communication networks. Our risk prediction model demonstrated robust performance across four validation cohorts.Conclusion: This molecular subtyping framework provides valuable insights for patient stratification and personalized therapeutic strategies in HNSCC, potentially improving clinical outcomes through precise treatment selection.","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"477"},"PeriodicalIF":2.8,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0